My main research interests include 1. Language and social dynamics. (a) The effect of wording, how language influences social interaction such as persuasion and information sharing. (b) The ecosystem of ideas, how ideas relate to each other and evolve over time. 2. Multi-community engagement, how a person interacts with multiple communities and how communities relate to each other. 3. Human-centered machine learning, how we can use machine learning to empower humans and augment human intelligence such as enhancing creativity and avoiding behavioral biases. I am also broadly interested in computational social science, natural language processing, and artificial intelligence.
computational social science, natural language processing, machine learning, social computing, behavioral science, pragmatics
CSCI 4622 - Machine Learning
Introduces students to tools, methods, and theory to construct predictive and inferential models that learn from data. Focuses on supervised machine learning technique including practical and theoretical understanding of the most widely used algorithms (decision trees, support vector machines, ensemble methods, and neural networks). Emphasizes both efficient implementation of algorithms and understanding of mathematical foundations.